New MIT technique reveals the basis for machine-learning systems’ hidden decisions
October 31, 2016
A Stanford School of Medicine machine-learning method for automatically analyzing images of cancerous tissues and predicting patient survival was found more accurate than doctors in breast-cancer diagnosis, but doctors still don’t trust this method, say MIT researchers (credit: Science/AAAS)
MIT researchers have developed a method to determine the rationale for predictions by neural networks, which loosely mimic the human brain. Neural networks, such as Google’s Alpha Go program, use a process known as “deep learning” to look for patterns in training data.
Neurons from stem cells replace damaged neurons, precisely rewiring into the brain
October 28, 2016
As shown in this in vivo two-photon image, neuronal transplants (blue) connect with host neurons (yellow) in the adult mouse brain in a highly specific manner, rebuilding neural networks lost upon injury. (credit: Sofia Grade/LMU/Helmholtz Zentrum München)
Embryonic neural stem cells transplanted into damaged areas of the visual cortex of adult mice were able to differentiate into pyramidal cells — forming normal synaptic connections, responding to visual stimuli, and integrating into neural networks — researchers at LMU Munich, the Max Planck Institute for Neurobiology in Martinsried and the Helmholtz Zentrum München have demonstrated.
Boosting levels of antioxidant may help resist age-related decline
NAC, used in emergency-room toxic crises, boosts glutathione. Could NAC also help resist aging-related toxins?
October 28, 2016
The chemical structure of glutathione, an antioxidant that may help resist the toxins that are an underlying cause of aging. (credit: Oregon State University)
Researchers at Oregon State University have found evidence in a rat study* that levels of glutathione, which helps resist the toxic stresses of everyday life, decline with age, and this sets the stage for a wide range of age-related health problems, they suggest.